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Dr. Jules White, Jeff Maggioncalda, Coursera CEO, and Andrew Ng

Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.

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Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.

This course provides university leaders with a foundation to understand enough of the key fundamentals of how generative AI works and what it can do to make effective strategic decisions. The course provides a primer on the innovative potential of generative AI across all disciplines and the opportunity for higher education to lead the way in reshaping how students learn and how we work in the future. It shows what is happening in industry and the strategic opportunities for institutions to focus on to help their students excel in the future of work.

The course also provides the foundation that an institution needs to get started innovating with generative AI, ranging from policy to platform. The course covers the essential platforms and infrastructure for effective generative AI integration in university settings, offering advice on investment priorities, efficient resource distribution, and pinpointing key advocates to create an interdisciplinary culture of innovation across campus.

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What's inside

Syllabus

Generative AI is Already Here
Module 1 introduces the transformative impact of Generative AI (GenAI) on universities and motivations for its implementation. It highlights the groundbreaking ways that GenAI is already impacting the education space today. Key focuses of this module include exploration of concrete use cases of GenAI in higher education, as well as explanations of how GenAI works and its limitations.
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Meeting the Needs of Students and Employers
Module 2 explores the impact of Generative AI on industries and jobs, guiding university leaders on aligning curricula with employer and student needs. It places significant emphasis on understanding GenAI's effects on businesses and the emerging skills required. Additionally, the module offers instruction on how to use GenAI as a thought partner in your work. Finally, it provides insights into popular courses on Coursera, assisting leaders in identifying high-demand curricula.
A Generative AI Guide for University Leaders
Module 3 dives into practical strategies for leading your institution through the rapidly changing landscape of generative AI. This module provides a starting blueprint for leveraging AI's potential while addressing its challenges, based on sucesses from Vanderbilt's Initiative on the Future of Learning and Generative AI. This module explores the most common starting needs for institutions: creating policy, thinking through curriculum needs, sparking community innovation, and setting up a private enterprise chat platform. This module will equip you with the initial knowledge and tools to start engaging with Gen AI confidently and ethically, ultimately driving meaningful progress in learning, operations, and research. If you already have all of these items in place, this module will provide a data point on how another institution approached these key elements.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Offers a pragmatic overview of generative AI, giving leaders actionable steps to innovate with this technology
Taught by experts in the field of generative AI, including Dr. Jules White, Jeff Maggioncalda, and Andrew Ng
Provides a solid foundation for university leaders to understand the key fundamentals of generative AI
Examines the transformative impact of generative AI on universities, highlighting its potential to reshape how students learn and work in the future
Guides university leaders on aligning curricula with employer and student needs in light of the impact of generative AI on industries and jobs
Provides practical strategies for leading an institution through the rapidly changing landscape of generative AI, based on successful initiatives at Vanderbilt University
This course is designed for university leaders looking to gain a foundational understanding of generative AI and its potential impact on higher education

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI for University Leaders with these activities:
Review data science concepts
Review fundamental concepts to ensure success in this course
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  • Review key concepts of data science and generative AI
  • Practice working with data sets and algorithms
Organize and synthesize course materials
Enhance understanding by organizing and reviewing key points
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  • Review lecture notes and slides
  • Create summaries and mind maps to consolidate information
Explore GenAI applications in industry
Gain practical insights into real-world GenAI applications
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  • Identify industries where GenAI is having a significant impact
  • Explore case studies and examples of successful GenAI implementations
Five other activities
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Experiment with GenAI platforms
Gain hands-on experience with tools and techniques for GenAI implementation
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  • Choose a GenAI platform to experiment with
  • Build a small-scale GenAI project to apply your understanding
Participate in discussion forums and study groups
Engage in peer learning and clarify concepts
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  • Join online discussion forums and engage with classmates
  • Organize study groups to review key concepts and work on projects
Connect with GenAI experts and practitioners
Seek guidance and support from those in the field
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  • Identify potential mentors who have expertise in GenAI
  • Reach out to mentors and schedule meetings to discuss interests and career goals
Develop a case study on GenAI implementation
Apply knowledge by developing a practical plan for GenAI integration
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  • Identify a specific area or challenge to address with GenAI
  • Develop a detailed plan for GenAI integration, outlining goals, methods, and evaluation metrics
Contribute to open-source GenAI projects
Gain practical experience and advance the field of GenAI
Browse courses on Generative AI
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  • Identify open-source GenAI projects that align with your interests
  • Make meaningful contributions to the project, such as bug fixes, feature enhancements, or documentation updates

Career center

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